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Physics Informed Machine Learning Jobs in Seattle, WA

PitchBook

Machine Learning Engineer

Seattle, WA · On-site

As a Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role ... models are informed by high-quality data and support strategic product goals * Explore and ...

Adobe

Senior Machine Learning Engineer

Seattle, WA

$172K - $306K/yr

A degree in computer science, statistics, operations research, applied physics, engineering, or a ... machine learning. Together, we'll develop groundbreaking solutions that empower creatives around ...

PitchBook Data

Machine Learning Engineer

Seattle, WA · On-site

$125K - $180K/yr

PitchBook's Machine Learning Engineer is responsible for using machine learning and natural ... Stay Informed and Lead: Stay updated on industry trends in Data Science and ML, actively ...

Axon

Principal Machine Learning Engineer

Seattle, WA · Hybrid

Principal Machine Learning Engineer Seattle, Washington, United States Join Axon and be a force for ... Bachelor's Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly ...

PitchBook

Machine Learning Engineer

Seattle, WA · On-site

Machine Learning Engineer role at PitchBook Get AI-powered advice on this job and more exclusive ... models are informed by high‑quality data and support strategic product goals. * Explore and ...

Axon

Principal Machine Learning Engineer

Seattle, WA · Hybrid

... new machine learning models and AI capabilities, leading to better and more responsible AI ... Bachelor's Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly ...

Snowflake

Staff Research Scientist, Exotic AI

Bellevue, WA · On-site

$236K - $339K/yr

... Machine Learning, Robotics, Physics, or a related field, or equivalent experience BONUS POINTS FOR THE FOLLOWING: * Experience with latent dynamics modeling, model-based RL, or physics-informed ...

PitchBook

Sr. Machine Learning Engineer

Seattle, WA · On-site

$118K - $163K/yr

... models are informed by high-quality data and support strategic product goals • Explore and ... machine learning engineering, with a strong focus on AI/ML applications in insight generation ...

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Physics Informed Machine Learning information

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$6

$22

$28

How much do physics informed machine learning jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for physics informed machine learning in Seattle, WA is $22.83, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $28.99 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Physics Informed Machine Learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are the typical challenges faced by professionals working in Physics Informed Machine Learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What is a Physics Informed Machine Learning job?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are popular job titles related to Physics Informed Machine Learning jobs in Seattle, WA? For Physics Informed Machine Learning jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in Seattle, WA look for? The top searched job categories for Physics Informed Machine Learning jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Physics Informed Machine Learning jobs? Cities near Seattle, WA with the most Physics Informed Machine Learning job openings:
Physics Informed Machine Learning jobs near you
Infographic showing various Physics Informed Machine Learning job openings in Seattle, WA as of June 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 100% In-person job distribution, with an average salary of $47,491 per year, or $22.8 per hour.
Senior Software Engineer, Machine Learning

Senior Software Engineer, Machine Learning

ZipRecruiter

Seattle, WA • Remote

$140K - $225K/yr

Full-time

Posted 7 days ago

Job description

We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.)

Our Mission:

To actively connect people to their next great opportunity.

Who We Are:

ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.

Summary:

At ZipRecruiter, where a universe of data, brimming with over a billion archived job postings, tens of millions of dynamic job seekers, and countless impression and click events, there's plenty of opportunities for innovation. Here, your experience will be put to work crafting new, data-driven features that impact the lives of millions, connecting them to their dream jobs.

We're tackling exciting challenges: imagine developing a system that can predict salaries for new job postings, using a training set of job postings and known salaries. But the fun doesn't stop at model-building. Our work involves an immersive dive into data - gathering, cleaning, analyzing, and extracting meaningful insights.

Key Focuses:

  • Design, develop, and maintain machine learning models and algorithms to solve complex business problems
  • Identify patterns, trends, and anomalies in the data, and visualize insights using appropriate tools
  • Assess the performance of machine learning models using appropriate metrics, validation techniques, and testing datasets
  • Discover opportunities to optimize models by fine-tuning hyperparameters, feature selection, or employing regularization techniques to improve accuracy, performance, and scalability
Minimum Qualifications:
  • 3+ year of professional software development experience with a focus in machine learning
  • Deep experience in machine learning algorithms, techniques, and best practices
  • Comprehensive computer science fundamentals in coding, object-oriented programming, data structures, and algorithms

Preferred Qualifications:

  • 5+ year of professional software development experience with a focus in machine learning
  • BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience
  • Strong knowledge of machine learning algorithms (e.g., linear regression, SVM, decision trees, neural networks, clustering, etc.) and best practices
  • Experience with machine learning algorithms and frameworks, such as TensorFlow, PyTorch, or scikit-learn
  • Experience with deep learning architectures and techniques, such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), and Generative Adversarial Networks (GANs)
  • Background with NLP techniques and tools, such as tokenization, stemming, lemmatization, sentiment analysis, and named entity recognition, and libraries like NLTK, SpaCy, or BERT

As part of our team you'll enjoy:

  • Competitive compensation
  • Exceptional benefits package
  • Flexible Vacation & Paid Time Off
  • Employer-matched 401(k) plan

#LI-Remote

The US base salary range for this full-time position is $140,000-$225,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations.

Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.

ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics.

Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice

Working at ZipRecruiter

Perks for workers

  • Competitive compensation

  • Annual bonus

  • RSUs for certain roles

  • Flexible time off

  • We match a percentage of your 401(k) contributions

  • Generous parental leave

  • Fertility and family-forming benefits

  • Pet insurance

  • Company-paid access to financial planning resources

  • Wellness stipend

  • Internet stipend & home office program

  • Snacks and occasional meals in some offices

  • Employee Resource Groups

  • Employee-driven recognition and rewards program

  • Mix of team meetings, 1:1s, and cross-functional collaboration

  • Live town halls

  • Hosted team building activities

About ZipRecruiter, in their own words

From ZipRecruiter

We’re one team with a shared mission—to connect people to their next opportunity. No matter who you are or where you work from, we create an inclusive, respectful environment where everyone can do their best work.

Company values

From ZipRecruiter

We're one team with a shared mission: to connect people to their next opportunity.

Our values shape everything we do

We're a diverse team of fearless builders. We foster excellence without egos, and our hearts are in it.

Diversity and inclusion statement

From ZipRecruiter

No matter who you are or where you work from, we create an inclusive, respectful environment where everyone can do their best work.

ZipRecruiter logo

About ZipRecruiter

Sourced by ZipRecruiter

What started as a way to help small businesses find great candidates has grown into a leading online employment marketplace that connects millions of job seekers with companies of all sizes. Our sophisticated Al-matching technology is at the core of everything we do-and by analyzing billions of user interactions, it's always getting smarter. It improves the job search experience for millions of people every month and helps businesses of all sizes find and hire the right candidates quickly. We empower job seekers with the tools they need to stand out and get hired. Like a personal recruiter, we track down relevant opportunities in our marketplace, proactively pitch them to hiring managers at top companies, and deliver status updates along the way. We make it easier for people to find work We match businesses of all sizes with the best people for their open roles. Reaching millions of job seekers through our site, * email, and #1 rated job seeker app, we target the most qualified candidates to apply when a job goes live in our marketplace. The result? More quality candidates and reduced hiring times.

Industry

Software development

Company size

1,001 - 5,000 Employees

Headquarters location

Santa Monica, CA, US

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